this paper presents a new approach which is based on quality control in order to optimize supplier selection. using inspections, removing the defected materials and considering penalties for low quality materials are the main factors which we have considered in modeling. in this model costs are divided to three parts: 1- costs of purchasing 2- costs of inspection policy 3- costs of quality and ...

CKD is defined as the continuous loss of kidney function or an estimated glomerular filtration rate less than 60 ml/min, which enduring for 3 months more. In nutrition plays a vital role in reducing progression damage and delaying dialysis phase.

In a previous work we have reported on the evolutionary design optimisation of self-assembling Wang tiles capable of arranging themselves together into a target structure. Apart from the significant findings on how selfassembly is achieved, nothing has been yet said about the efficiency by which individuals were evolved. Specially in light that the mapping from genotype to phenotype and from th...

We suggest a branch and bound algorithm for solving continuous optimization problems where a (generally nonconvex) objective function is to be minimized under nonconvex inequality constraints which satisfy some specific solvability assumptions. The assumptions hold for some special cases of nonconvex quadratic optimization problems. We show how the algorithm can be applied to the problem of min...

We discuss a general technique that can be used to form a differentiable bound on the optima of non-differentiable or discrete objective functions. We form a unified description of these methods and consider under which circumstances the bound is concave. In particular we consider two concrete applications of the method, namely sparse learning and support vector classification. 1 Optimization b...

Let Y (t) be a stochastic process on [0; 1] modeled as dYt = (t)dt + dW (t), where W (t) denotes a standard Wiener process, and (t) is an unknown function assumed to belong to a given set L2[0; 1]. We consider the problem of estimating the value L( ), where L is a known continuous linear function de ned on , using linear estimators of the form hm; yi = R m(t)dY (t); m 2 L2[0; 1]. We solve the p...

This paper address the problem of Bayesian estimation of the parameters, reliability and hazard function in the context of record statistics values from the two-parameter Lomax distribution. The ML and the Bayes estimates based on records are derived for the two unknown parameters and the survival time parameters, reliability and hazard functions. The Bayes estimates are obtained based on conju...

It is well known that a microperiodic function mapping a topological group into reals, which is continuous at some point is constant. We introduce the notion of a microperiodic multifunction, defined on a topological group with values in a metric space, and study regularity conditions implying an analogous result. We deal with Vietoris and Hausdorff continuity concepts.Stability of microperiodi...